MLOps Engineer (Azure & Databricks)

Consult Asia; Chennai District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Consult Asia is seeking an ML Engineer to design, build, and deploy ML models using Python and Azure Databricks in a cloud environment.

You will develop scalable ML pipelines, implement MLOps practices, manage model lifecycle, and ensure performance, monitoring, and CI/CD integration.

This role requires hands-on experience with Databricks and Azure ML, strong problem-solving, and collaboration across teams. Experience in deployment to production and monitoring in Azure cloud is preferred.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML expertise.
• Expertise in model deployment, pipelines, and cloud-based ML systems.

Responsibilities

• Design, build, and deploy ML models using Python and Azure Databricks.
• Develop scalable ML pipelines and implement MLOps practices.
• Manage model lifecycle and ensure performance, monitoring, and CI/CD integration in cloud environments.

Skills

Python

Databricks

Azure ML

MLOps

CI/CD

Tools

Azure Databricks

Job description

Design, build, and deploy ML models using Python and Azure Databricks. Develop scalable ML pipelines, implement MLOps practices, manage model lifecycle, and ensure performance, monitoring, and CI/CD integration in cloud environments.

Required Candidate profile

Experience in ML engineering/MLOps with Python (OOP), hands-on Databricks and Azure ML. Expertise in model deployment, pipelines, and cloud-based ML systems. Good problem-solving and collaboration